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TechFabric

Migration accelerator

A governed migration factory for moving warehouse and ETL estates to Databricks.

A warehouse migration your risk function will actually sign off. Scope, evidence, certificates, and a reversible cutover are part of the process, so the migration stops being a long weekend with a rollback plan nobody has tested.

3 common questions, answered below ↓
Role in the family
Migration accelerator
Databricks surfaces
LakebridgeUnity CatalogDatabricks Asset BundlesDatabricks AppsTemporal
Status
Console, worker, CLI, and declarative Databricks Asset Bundle deployment are implemented. Twenty-seven source platforms have executable playbooks, including Snowflake, Azure Synapse, Amazon Redshift, Oracle, Teradata, SQL Server, BigQuery, Netezza and SAP. The first two weeks of an Airlift engagement are sold on their own as the Migration Readiness Sprint.
Documentation
airlift.fabric.pro

The problem

Conversion is the easy part of a migration. The hard part is proving what was in scope, which tool version produced which artifact, what evidence says it is correct, and how to reverse a cutover at two in the morning when it is not.

How it works

Airlift composes Databricks Lakebridge for profiling, analysis, SQL conversion, and reconciliation, then wraps it in a policy-enforced lifecycle: discovery and scope acceptance, independent validation, signed migration certificates, approved waves, and reversible cutover. Every artifact carries the tool version that produced it and the evidence that cleared it.

What it does

Evidence, not assertions

Each converted artifact is bound to immutable evidence proving it is ready to promote.

Signed migration certificates

A wave cuts over only when its certificate is issued. The certificate is the gate, not a status field.

Reversible cutover

Checkpoint, apply, verify, with a defined path back out of an external change.

Wave planning

Scope is accepted explicitly and cut over in approved waves.

What it changes for you

A warehouse migration your risk function will actually sign off. Scope, evidence, certificates, and a reversible cutover are part of the process, so the migration stops being a long weekend with a rollback plan nobody has tested.

Where this shows up in an engagementMigrations to Databricks

FAQ

Fabric Airlift, answered

Which source warehouses can Airlift migrate?

Twenty-seven, each with an executable playbook. Snowflake, Azure Synapse and Teradata have their own pages at /databricks/from-snowflake, /databricks/from-synapse and /databricks/from-teradata. Redshift, Oracle, SQL Server, BigQuery, Netezza and SAP are covered too. Tell us your source and we will confirm what the playbook does today.

What makes a migration reversible?

Cutover runs as checkpoint, apply, verify, with a defined path back out of an external change. A wave only cuts over once its certificate is issued, so the gate is the evidence itself.

Can our risk function audit the migration?

That is the design goal. Every converted artifact is bound to immutable evidence and carries the tool version that produced it, so what was in scope, what proved it correct and who approved the wave are all answerable after the fact.